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Real-time video dubbing that preserves identity consistency while achieving accurate lip synchronization remains a critical challenge. Existing approaches face a trilemma: diffusion-based methods achieve high visual fidelity but suffer from…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Yue Zhang , Zhizhou Zhong , Minhao Liu , Zhaokang Chen , Bin Wu , Yubin Zeng , Chao Zhan , Yingjie He , Junxin Huang , Wenjiang Zhou

Person-generic audio-driven face generation is a challenging task in computer vision. Previous methods have achieved remarkable progress in audio-visual synchronization, but there is still a significant gap between current results and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Xiaozhong Ji , Chuming Lin , Zhonggan Ding , Ying Tai , Junwei Zhu , Xiaobin Hu , Donghao Luo , Yanhao Ge , Chengjie Wang

The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video. Albeit moderate improvements in current approaches, they commonly require high-quality homologous data…

Computer Vision and Pattern Recognition · Computer Science 2022-01-19 Tianyi Xie , Liucheng Liao , Cheng Bi , Benlai Tang , Xiang Yin , Jianfei Yang , Mingjie Wang , Jiali Yao , Yang Zhang , Zejun Ma

Generating high-quality and person-generic visual dubbing remains a challenge. Recent innovation has seen the advent of a two-stage paradigm, decoupling the rendering and lip synchronization process facilitated by intermediate…

Computer Vision and Pattern Recognition · Computer Science 2024-01-15 Tao Liu , Chenpeng Du , Shuai Fan , Feilong Chen , Kai Yu

Visual dubbing is the process of generating lip motions of an actor in a video to synchronise with given audio. Recent advances have made progress towards this goal but have not been able to produce an approach suitable for mass adoption.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Jack Saunders , Vinay Namboodiri

Synthesizing personalized talking faces that uphold and highlight a speaker's unique style while maintaining lip-sync accuracy remains a significant challenge. A primary limitation of existing approaches is the intrinsic confounding of…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Renjie Lu , Xulong Zhang , Xiaoyang Qu , Jianzong Wang , Shangfei Wang

Video dubbing aims to synthesize realistic, lip-synced videos from a reference video and a driving audio signal. Although existing methods can accurately generate mouth shapes driven by audio, they often fail to preserve identity-specific…

Computer Vision and Pattern Recognition · Computer Science 2025-01-10 Runzhen Liu , Qinjie Lin , Yunfei Liu , Lijian Lin , Ye Zhu , Yu Li , Chuhua Xian , Fa-Ting Hong

Audio-driven talking face generation is a challenging task in digital communication. Despite significant progress in the area, most existing methods concentrate on audio-lip synchronization, often overlooking aspects such as visual quality,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Fatemeh Nazarieh , Zhenhua Feng , Diptesh Kanojia , Muhammad Awais , Josef Kittler

Dubbing is a technique for translating video content from one language to another. However, state-of-the-art visual dubbing techniques directly copy facial expressions from source to target actors without considering identity-specific…

Computer Vision and Pattern Recognition · Computer Science 2019-09-09 Hyeongwoo Kim , Mohamed Elgharib , Michael Zollhöfer , Hans-Peter Seidel , Thabo Beeler , Christian Richardt , Christian Theobalt

We present VideoReTalking, a new system to edit the faces of a real-world talking head video according to input audio, producing a high-quality and lip-syncing output video even with a different emotion. Our system disentangles this…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Kun Cheng , Xiaodong Cun , Yong Zhang , Menghan Xia , Fei Yin , Mingrui Zhu , Xuan Wang , Jue Wang , Nannan Wang

Portrait animation aims to synthesize talking videos from a static reference face, conditioned on audio and style frame cues (e.g., emotion and head poses), while ensuring precise lip synchronization and faithful reproduction of speaking…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 He Feng , Yongjia Ma , Donglin Di , Lei Fan , Tonghua Su , Xiangqian Wu

Recent advances in audio-driven talking head generation have achieved impressive results in lip synchronization and emotional expression. However, they largely overlook the crucial task of facial attribute editing. This capability is…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Guanwen Feng , Zhiyuan Ma , Yunan Li , Jiahao Yang , Junwei Jing , Qiguang Miao

Different people speak with diverse personalized speaking styles. Although existing one-shot talking head methods have made significant progress in lip sync, natural facial expressions, and stable head motions, they still cannot generate…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Yifeng Ma , Suzhen Wang , Zhipeng Hu , Changjie Fan , Tangjie Lv , Yu Ding , Zhidong Deng , Xin Yu

Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial expressions from audio signals. However, traditional regression…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Ziqiao Peng , Yihao Luo , Yue Shi , Hao Xu , Xiangyu Zhu , Jun He , Hongyan Liu , Zhaoxin Fan

We aim to edit the lip movements in talking video according to the given speech while preserving the personal identity and visual details. The task can be decomposed into two sub-problems: (1) speech-driven lip motion generation and (2)…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Runyi Yu , Tianyu He , Ailing Zhang , Yuchi Wang , Junliang Guo , Xu Tan , Chang Liu , Jie Chen , Jiang Bian

Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for training or fine-tuning. Existing person-generic methods have…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Weizhi Zhong , Chaowei Fang , Yinqi Cai , Pengxu Wei , Gangming Zhao , Liang Lin , Guanbin Li

Automatic dubbing, which generates a corresponding version of the input speech in another language, could be widely utilized in many real-world scenarios such as video and game localization. In addition to synthesizing the translated…

Sound · Computer Science 2024-07-08 Jingbei Li , Sipan Li , Ping Chen , Luwen Zhang , Yi Meng , Zhiyong Wu , Helen Meng , Qiao Tian , Yuping Wang , Yuxuan Wang

Combining face swapping with lip synchronization technology offers a cost-effective solution for customized talking face generation. However, directly cascading existing models together tends to introduce significant interference between…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Zeren Zhang , Haibo Qin , Jiayu Huang , Yixin Li , Hui Lin , Yitao Duan , Jinwen Ma

Speech-driven 3D talking head generation aims to produce lifelike facial animations precisely synchronized with speech. While considerable progress has been made in achieving high lip-synchronization accuracy, existing methods largely…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Bin Wang , Yang Xu , Huan Zhao , Hao Zhang , Zixing Zhang

Visual dubbing, the synchronization of facial movements with new speech, is crucial for making content accessible across different languages, enabling broader global reach. However, current methods face significant limitations. Existing…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Binyamin Manela , Sharon Gannot , Ethan Fetyaya
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